CN110553821A - Visualized diagnosis method and system for faults of steam turbine generator unit - Google Patents
Visualized diagnosis method and system for faults of steam turbine generator unit Download PDFInfo
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- CN110553821A CN110553821A CN201910608014.4A CN201910608014A CN110553821A CN 110553821 A CN110553821 A CN 110553821A CN 201910608014 A CN201910608014 A CN 201910608014A CN 110553821 A CN110553821 A CN 110553821A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H17/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M13/00—Testing of machine parts
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Abstract
The invention discloses a method and a system for diagnosing faults of a steam turbine generator unit. The method comprises the following steps: acquiring operating parameters and vibration data of a steam turbine generator unit; obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data; acquiring a real-time vibration vector of the full working condition of the steam turbine generator unit; comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference value; and carrying out fault judgment on the turbo generator set according to the vibration vector difference value. By adopting the method or the system, the occurrence of the fault can be judged in time, and the risk of serious accidents of the unit is reduced.
Description
Technical Field
The invention relates to the field of fault diagnosis of a steam turbine generator unit, in particular to a visualized fault diagnosis method and system for the steam turbine generator unit.
background
The vibration monitoring fault diagnosis system (TDM) of the steam turbine generator unit mainly comprises an EN8000 system of Beijing Yinghuada company, a TN8000 system of Beijing Huake Tongan company, an Alstontong creation S8000 system of real company, more than 90 percent of the three systems in the domestic TDM market share, a Songyuan Aipu company (epro) MMS6000 system of a steam turbine generator unit vibration monitoring protection system (TSI) manufacturer, a general company (GE)3500 system and the like. The following problems are common to such products:
the data acquisition mode is unreliable, and the fault reason cannot be accurately analyzed;
the data storage is unscientific, and false alarm is easy to cause;
the vibration signal analysis is not comprehensive, and the operation cannot be effectively guided;
The intelligent fault diagnosis is inaccurate, and the maintenance can not be accurately guided.
Because the vibration signal analysis relates to a plurality of fields, the field has very strong speciality, and field personnel are difficult to master, the traditional TDM system does not effectively bring practical and reliable help for the operation of a turbo generator unit of a power plant, but the frequent false alarm and the frequent false alarm missing bring great trouble to the field, so that a large part of power plants basically become furnishings.
The intelligent fault diagnosis of the domestic TDM system is researched for more than 40 years and used on site, and the fact proves that the credibility and the actual value of a diagnosis result can not meet the enterprise requirements no matter the method based on traditional statistics such as fuzzy diagnosis, neural network and the like or the method based on the rule diagnosis of the causal relationship of the fault.
disclosure of Invention
the invention aims to provide a visualized diagnosis method and a visualized diagnosis system for faults of a steam turbine generator unit, which can judge the occurrence of the faults in time and reduce the risk of serious accidents of the unit.
in order to achieve the purpose, the invention provides the following scheme:
A fault diagnosis method for a steam turbine generator unit comprises the following steps:
acquiring operating parameters and vibration data of a steam turbine generator unit;
obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data;
Acquiring a real-time vibration vector of the full working condition of the steam turbine generator unit;
comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference value;
And carrying out fault judgment on the turbo generator set according to the vibration vector difference value.
optionally, the obtaining of the operating parameters and the vibration data of the steam turbine generator unit specifically includes:
acquiring the operating parameters of the steam turbine generator unit from an SIS system real-time database;
And acquiring vibration data of the steam turbine generator unit from a BCT101 system database.
optionally, the fault judgment of the turbo generator set according to the vibration vector difference specifically includes:
acquiring a fault occurrence limit value;
judging whether the vibration vector difference value is larger than the fault occurrence limit value or not;
If so, outputting a fault, and grading the severity of the fault according to the amplitude larger than the fault occurrence limit value;
and if not, acquiring the operating parameters and the vibration data of the steam turbine generator unit.
A steam turbine generator unit fault diagnosis system comprising:
the acquisition module is used for acquiring the operating parameters and the vibration data of the steam turbine generator unit;
the reference vibration vector determination module is used for obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data;
The real-time vibration vector acquisition module is used for acquiring real-time vibration vectors of all working conditions of the steam turbine generator unit;
the vibration vector difference determining module is used for comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference;
and the fault judgment module is used for judging the fault of the steam turbine generator unit according to the vibration vector difference value.
Optionally, the obtaining module specifically includes:
the operation parameter acquisition unit is used for acquiring the operation parameters of the steam turbine generator unit from the SIS system real-time database;
And the vibration data acquisition unit is used for acquiring the vibration data of the steam turbine generator unit from the BCT101 system database.
optionally, the fault determining module specifically includes:
A fault occurrence limit value acquisition unit for acquiring a fault occurrence limit value;
The judging unit is used for judging whether the vibration vector difference value is larger than the fault occurrence limit value or not;
The fault output unit is used for outputting a fault if the vibration vector difference value is larger than the fault occurrence limit value, and the severity of the fault is classified according to the amplitude larger than the fault occurrence limit value;
and if not, acquiring the operating parameters and the vibration data of the steam turbine generator unit.
according to the specific embodiment provided by the invention, the invention discloses the following technical effects:
The invention provides a fault diagnosis method for a steam turbine generator unit, which comprises the following steps: acquiring operating parameters and vibration data of a steam turbine generator unit; obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data; acquiring a real-time vibration vector of the full working condition of the steam turbine generator unit; comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference value; and carrying out fault judgment on the turbo generator set according to the vibration vector difference value. By adopting the method, the occurrence of the fault can be judged in time, and the risk of serious accidents of the unit is reduced.
drawings
in order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a visualized diagnosis method for a fault of a steam turbine generator unit according to an embodiment of the invention;
FIG. 2 is a structural diagram of a fault visualization diagnosis system of a steam turbine generator unit according to an embodiment of the invention;
FIG. 3 is a graph of historical spectrum of M measuring points under the working condition of the invention in an embodiment H;
FIG. 4 is a graph of a reference spectrum of a measuring point M under the working condition H in the embodiment of the present invention;
FIG. 5 is a real-time spectrum diagram of M measuring points under H operating conditions in the embodiment of the present invention;
fig. 6 is a logic diagram of the comprehensive diagnosis of the abnormal vibration of the unit according to the embodiment of the invention.
Detailed Description
the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
the invention aims to provide a visualized diagnosis method and a visualized diagnosis system for faults of a steam turbine generator unit, which can accurately judge the severity of the faults and reduce the risk of serious accidents of the unit.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
In more than ten years, the design, manufacture, installation and debugging technology of the power generation equipment is greatly improved, and the automation, reliability and economic level of the generator set are obviously improved. Along with the increasingly fierce competition of the power market, the utilization rate of the unit is continuously low at present and in a period of time in the future, and the flexibility and the depth adjustment of the unit become a normal state. In order to better adapt to the changes of internal factors and external conditions of a power generation enterprise, optimize the regulation and control level of a unit, strive to improve the competitive capacity of the unit, and carry out state monitoring, fault diagnosis and risk early warning on the unit by an effective technical means, the method is imperative.
At present, the design efficiency of main and auxiliary equipment has reached a higher level, and the improvement of the intelligent management and control level of power production becomes a main way for further exploiting the energy-saving and consumption-reducing potential of the generator set. The configuration of the existing system is optimized, the monitoring of the development state is carried out, the purpose is to fully mine and exert the benefits brought by the optimized power production mode, and the technologies such as data statistical analysis and expert system are utilized to ensure that the unit can keep safe and efficient operation under different conditions.
Example 1:
fig. 1 is a flow chart of a visualized diagnosis method for a fault of a steam turbine generator unit according to an embodiment of the invention. As shown in fig. 1, a method for diagnosing a fault of a steam turbine generator unit includes:
Step 101: the method for acquiring the operating parameters and the vibration data of the steam turbine generator unit specifically comprises the following steps:
Acquiring the operating parameters of the steam turbine generator unit from an SIS system real-time database;
And acquiring vibration data of the steam turbine generator unit from a BCT101 system database.
step 102: and obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data.
step 103: and acquiring the real-time vibration vector of the full working condition of the steam turbine generator unit.
Step 104: and comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference value.
step 105: and carrying out fault judgment on the turbo generator set according to the vibration vector difference value, which specifically comprises the following steps:
Acquiring a fault occurrence limit value;
judging whether the vibration vector difference value is larger than the fault occurrence limit value or not;
If so, outputting a fault, and grading the severity of the fault according to the amplitude larger than the fault occurrence limit value;
and if not, acquiring the operating parameters and the vibration data of the steam turbine generator unit.
example 2:
fig. 2 is a structural diagram of a fault visualization diagnosis system of a steam turbine generator unit according to an embodiment of the invention. As shown in fig. 2, a fault diagnosis system for a steam turbine generator unit includes:
an obtaining module 201, configured to obtain an operating parameter and vibration data of a steam turbine generator unit;
The reference vibration vector determination module 202 is configured to obtain a reference vibration vector of the steam turbine generator unit under all operating conditions according to the operating parameters and the vibration data;
The real-time vibration vector acquisition module 203 is used for acquiring real-time vibration vectors of all working conditions of the steam turbine generator unit;
a vibration vector difference determining module 204, configured to compare the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference;
and the fault judgment module 205 is configured to perform fault judgment on the turbo generator set according to the vibration vector difference value.
The obtaining module 201 specifically includes:
The operation parameter acquisition unit is used for acquiring the operation parameters of the steam turbine generator unit from the SIS system real-time database;
and the vibration data acquisition unit is used for acquiring the vibration data of the steam turbine generator unit from the BCT101 system database.
the fault determining module 205 specifically includes:
a fault occurrence limit value acquisition unit for acquiring a fault occurrence limit value;
The judging unit is used for judging whether the vibration vector difference value is larger than the fault occurrence limit value or not;
The fault output unit is used for outputting a fault if the vibration vector difference value is larger than the fault occurrence limit value, and the severity of the fault is classified according to the amplitude larger than the fault occurrence limit value;
and if not, acquiring the operating parameters and the vibration data of the steam turbine generator unit.
example 3:
A steam turbine fault diagnosis device, comprising:
the system comprises an SIS system real-time data storage system, a BCT101 system data storage system, a communication system, a server and a user output end; the server comprises the fault diagnosis system of the steam turbine generator unit in the embodiment 2;
The SIS system real-time data storage system is connected with the server through a communication system and is used for storing an SIS system real-time database;
the BCT101 system data storage system is connected with the server through a communication system, and the BCT101 system data storage system is used for storing a BCT101 system database;
the server is connected with the user output end and used for acquiring the operating parameters of the steam turbine generator unit from the SIS system real-time data storage system through the communication system by adopting the fault diagnosis system, acquiring the vibration data of the steam turbine generator unit from the BCT101 system data storage system, determining a diagnosis result according to the operating parameters and the vibration data and outputting the diagnosis result to the user output end;
and the user output end is used for displaying the diagnosis result to the user.
The method is mainly used for quantitatively diagnosing and forecasting the problems of the large steam turbine generator unit such as faults, provides enough reaction time for operators, and provides related suggested measures for fault removal. The system extracts each factor, each link parameter and initial stage characteristic one by one, and gives an alarm when the criterion is sufficient. The method comprises the steps of performing data communication butt joint on a SIS system real-time database and a B/S version BCT101 system database, introducing various operation parameters and vibration data of a turbo generator unit of an object layer into a parameter analysis system, converting the operation parameters and the vibration data into computer languages, extracting amplitude and phase of each component of a vibration frequency spectrum through characteristic separation, obtaining a real-time vibration vector and a reference vibration vector of a measuring point to perform dynamic difference calculation, outputting a fault alarm signal to inform an operator if the difference is larger than a fault occurrence limit value condition, reminding an enterprise of meeting the fault reason at the first time, and taking targeted measures to prevent accident expansion.
the load, the rotating speed, the vacuum and the vibration change characteristics of the corresponding rotating shaft of the turbo generator set are used as input, the vibration frequency spectrum component reference value of each measuring point is calculated through historical data statistical analysis, the real-time vibration vector and the reference vibration vector of the measuring point are obtained to carry out dynamic difference calculation, and if the difference is larger than the fault occurrence reference value condition, a fault alarm signal is output.
among various parameters for measuring the state of the steam turbine generator unit, vibration is the most abundant state information and is also a key factor influencing the safe operation of the unit. An oscillation signal is composed of sine waves of various frequencies, and the amplitudes and phases of the frequency components can be obtained through Fourier transform. When the state of the unit is good, the vibration frequency spectrum of the unit is collected and recorded, the vibration frequency standard value of each measuring point under the whole working condition of the unit is obtained through calculation through comprehensive analysis of the working condition and the vibration, and the collected vibration real-time frequency spectrum is compared with the vibration frequency standard value of each measuring point in the later daily operation process. And comparing the variation amplitude of different frequency division signals with a unit fault vibration abnormal movement limit value, wherein the difference value is greater than the limit value, and outputting a fault alarm signal.
FIG. 3 is a graph of historical spectrum of M measuring points under the working condition of the invention in an embodiment H; FIG. 4 is a graph of a reference spectrum of a measuring point M under the working condition H in the embodiment of the present invention; FIG. 5 is a real-time spectrum diagram of M measuring points under H operating conditions in the embodiment of the present invention; fig. 6 is a logic diagram of the comprehensive diagnosis of the abnormal vibration of the unit according to the embodiment of the invention.
and comparing the figure 5 with the figure 4, wherein a 0.5X component appears, which shows that the unit shafting vibration has abnormal component, the frequency is half of the working rotating frequency, the fault characteristic occurs in the unit operation, and the corresponding color is used for lightening the lamp according to the amplitude of the abnormal component and the fault severity degree to warn the operator that the unit is dangerous and needs to be analyzed and processed as soon as possible.
The contents in the upper gray box in fig. 6 represent the steam turbine generator unit process variable parameters, data source plant SIS systems. The content in the middle gray frame represents the vibration quantity parameter of the steam turbine generator unit, and the data is derived from the BCT101 system. The content in the lower gray frame represents the calculated amount, a calculation formula is configured in the engine module, and the dynamic difference value of each frequency vector of vibration is calculated in real time.
and flexibly configuring vibration abnormal motion diagnosis logic rules of different measuring points under various working conditions, and giving priority to a fault part by taking the severity of the fault as a reference if the vibration vector difference value of a certain measuring point reaches a fault occurrence limit value.
and outputting a fault signal to be displayed on a B/S version BCT101 system interface to remind an operator, and visually displaying a fault part and the current hazard degree on a screen to ensure that the operator can have enough time to control.
the embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
the principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (6)
1. a fault diagnosis method for a steam turbine generator unit is characterized by comprising the following steps:
Acquiring operating parameters and vibration data of a steam turbine generator unit;
Obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data;
acquiring a real-time vibration vector of the full working condition of the steam turbine generator unit;
Comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference value;
and carrying out fault judgment on the turbo generator set according to the vibration vector difference value.
2. The method for diagnosing the fault of the steam turbine generator unit according to claim 1, wherein the step of obtaining the operating parameters and the vibration data of the steam turbine generator unit specifically comprises the steps of:
Acquiring the operating parameters of the steam turbine generator unit from an SIS system real-time database;
and acquiring vibration data of the steam turbine generator unit from a BCT101 system database.
3. the method for diagnosing the fault of the steam turbine generator unit according to claim 1, wherein the step of judging the fault of the steam turbine generator unit according to the vibration vector difference value specifically comprises the steps of:
acquiring a fault occurrence limit value;
judging whether the vibration vector difference value is larger than the fault occurrence limit value or not;
If so, outputting a fault, and grading the severity of the fault according to the amplitude larger than the fault occurrence limit value;
And if not, acquiring the operating parameters and the vibration data of the steam turbine generator unit.
4. A steam turbine generator unit fault diagnosis system is characterized by comprising:
the acquisition module is used for acquiring the operating parameters and the vibration data of the steam turbine generator unit;
The reference vibration vector determination module is used for obtaining a reference vibration vector of the full working condition of the steam turbine generator unit according to the operation parameters and the vibration data;
the real-time vibration vector acquisition module is used for acquiring real-time vibration vectors of all working conditions of the steam turbine generator unit;
The vibration vector difference determining module is used for comparing the real-time vibration vector with a reference vibration vector to obtain a vibration vector difference;
And the fault judgment module is used for judging the fault of the steam turbine generator unit according to the vibration vector difference value.
5. the system for diagnosing the fault of the steam turbine generator unit according to claim 4, wherein the obtaining module specifically comprises:
the operation parameter acquisition unit is used for acquiring the operation parameters of the steam turbine generator unit from the SIS system real-time database;
and the vibration data acquisition unit is used for acquiring the vibration data of the steam turbine generator unit from the BCT101 system database.
6. The system for diagnosing the fault of the steam turbine generator unit according to claim 4, wherein the fault determining module specifically comprises:
a fault occurrence limit value acquisition unit for acquiring a fault occurrence limit value;
the judging unit is used for judging whether the vibration vector difference value is larger than the fault occurrence limit value or not;
the fault output unit is used for outputting a fault if the vibration vector difference value is larger than the fault occurrence limit value, and the severity of the fault is classified according to the amplitude larger than the fault occurrence limit value;
and if not, acquiring the operating parameters and the vibration data of the steam turbine generator unit.
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Cited By (5)
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| CN111811819A (en) * | 2020-06-30 | 2020-10-23 | 佛山科学技术学院 | Bearing fault diagnosis method and device based on machine learning |
| CN112284521A (en) * | 2020-10-27 | 2021-01-29 | 西安西热节能技术有限公司 | Quantification and application method of vibration fault characteristics of steam turbine generator unit |
| CN113933707A (en) * | 2021-10-12 | 2022-01-14 | 哈尔滨电机厂有限责任公司 | Self-adjusting method for judging reliability of fault reason of generator set |
| CN114323260A (en) * | 2021-12-20 | 2022-04-12 | 中电华创电力技术研究有限公司 | Automatic diagnosis method for vibration fault of steam turbine set under all working conditions and computer readable medium |
| CN116950729A (en) * | 2023-09-19 | 2023-10-27 | 华能山东发电有限公司烟台发电厂 | Turbine blade fault detection method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113933707B (en) * | 2021-10-12 | 2023-09-19 | 哈尔滨电机厂有限责任公司 | Self-adjusting method for judging reliability of fault cause of generator set |
| CN114323260A (en) * | 2021-12-20 | 2022-04-12 | 中电华创电力技术研究有限公司 | Automatic diagnosis method for vibration fault of steam turbine set under all working conditions and computer readable medium |
| CN116950729A (en) * | 2023-09-19 | 2023-10-27 | 华能山东发电有限公司烟台发电厂 | Turbine blade fault detection method and system |
| CN116950729B (en) * | 2023-09-19 | 2024-02-27 | 华能山东发电有限公司烟台发电厂 | Turbine blade fault detection method and system |
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Application publication date: 20191210 |